Computer Graphics Laboratory ETH Zurich


Seminar 'Advanced Methods in Computer Graphics' - SS 21


Course Topics

This seminar covers advanced topics in visual computing, including both seminal research papers as well as the latest research results. The main topic areas are image and video processing, capture, rendering, visualization, simulation, fabrication as well as machine learning in graphics.

Course Setup

Every participant has to present one of the papers in the list below. Additionally, you are required to read the paper that is presented in class beforehand and participate in a discussion during the seminar. An assistant will provide support when preparing the slides and in case technical questions arise.

Learning Objectives

The goal is to get an in-depth understanding of actual problems and research topics in the field of visual computing as well as improve presentations and critical analysis skills.


The "Visual Computing", "Introduction to Computer Graphics" and "Computer Vision I" courses are recommended, but not mandatory.


Virtual Seminar

The seminar takes place virtually using the video platform Zoom. Detailed information about the online session was sent to you once by e-mail. We will always use the same Zoom room. Note that there will be no physical session in the assigned class room. Presenters can contact us before the meeting to get a technical introduction to the video platform Zoom. There are a few important rules:

  • When attending a virtual meeting, log in with your real name.
  • Mute your microphone during the presentations.
  • Use a head set to avoid feedback loops.
We will monitor virtual attendence. If a student cannot attend a seminar session, the reason (e.g. medical certificate) has to be given before the session and must be accepted by one of the organizers. More than three missed seminar sessions will cause the student to fail this class. The dates for the presentations can not be moved except there is someone willing to switch. The link for the virtual seminar is here: Zoom Virtual Room


The presentation of the selected paper contributes 75% to the final grade. Additionally, the students are required to submit a short abstract of each paper before the class as well as to participate in the group discussions after the presentations. Both will be documented by the organizers and contributes 25% to the final grade.

Organization and Grading

Number 252-5704-00L
Lecturers M. Gross, O. Sorkine-Hornung
Assistants Dr. Vinicius C. Azevedo (, CNB G 102.1

Assistants Dr. Roberto Azevedo (, CNB G 102.1

Assistants Dr. Juan Montes (, CNB G 102.1

Location Virtual Meeting at Zoom Room, Fridays 14:00-16:00



Date Topic Paper Student Supervisor
05-MarExample Talks
12-MarNo Session
19-MarNo Session
26-MarNo Session
16-AprNo Session
23-AprAnimationPhase-functioned neural networks for character controlMatthias KonigDominik Borer
23-AprAnimationSMPL: A Skinned Multi-Person Linear ModelPavel PozdnyakovDominik Borer
30-AprAnimationDeepMimic: example-guided deep reinforcement learning of physics-based character skillsChristopher VogelsangerDominik Borer
30-AprSimulationTransport-Based Neural Style Transfer for Smoke SimulationsFlorim MemediByungsoo Kim
07-MayCaptureSingle-Shot High-Quality Facial Geometry and Skin Appearance CaptureKate GadolaPaulo Gotardo
07-MayCaptureAccurate Markerless Jaw Tracking for Facial Performance CapturePeter HaasGaspard Zoos
14-MayRenderingReparameterizing Discontinuous Integrands for Differentiable RenderingPascal ChangPrashant Chandran
14-MayRenderingDenoising Deep Monte Carlo RenderingsValentin WeissIrene Baeza Rojo

Further Papers